• Corpus ID: 2990304

QuickUMLS: a Fast, Unsupervised Approach for Medical Concept Extraction

@inproceedings{Soldaini2016QuickUMLSAF,
  title={QuickUMLS: a Fast, Unsupervised Approach for Medical Concept Extraction},
  author={Luca Soldaini},
  year={2016}
}
Entity extraction is a fundamental step in many health informatics systems. In recent years, tools such as MetaMap and cTAKES have been widely used for medical concept extraction on medical literature and clinical notes; however, relatively little interest has been placed on their scalability to large datasets. In this work, we present QuickUMLS: a fast, unsupervised, approximate dictionary matching algorithm for medical concept extraction. The proposed method achieves similar precision and… 

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